Summary
Chris Goldammer is a data scientist and economist with 11 years of experience applying causal inference, machine learning, and product experimentation to improve platform outcomes and business metrics. At Airbnb he scaled policy and cancellation analytics as a staff data scientist, led cross-functional code-review and metrics efforts for thousands of engineers, and drove host-facing product improvements. His background spans consumer SaaS and retail (Bombfell) to consulting (TGG), where he blended economics, behavioral insights, and predictive modeling to unlock revenue and reduce risk. Now based in New York, he’s building at the intersection of urban data, real estate, and zoning—bringing academic rigor from a University of Chicago PhD to hands-on product and developer work. Colleagues describe him as a pragmatic quantitative thinker who translates complex models into measurable business decisions.
11 years of coding experience
11 years of employment as a software developer
Economics, Economics at Yale University
Diploma, Economics, Diploma, Economics at University of Mannheim
PhD, Economics, PhD, Economics at University of Chicago
Economics, Economics at University of Toronto
German, English, Spanish, Chinese